package com.cloudbroker.bcs.platform.dav.middle.util;

import com.cloudbroker.bcs.common.util.ValueUtil;
import com.cloudbroker.bcs.platform.dav.common.config.ConfigValues;
import com.cloudbroker.bcs.platform.dav.middle.context.HSBCPSBizDataContext;

import java.util.*;

/**
 * Created by wangxu13798 on 2017/1/3.
 */
public class SensitiveWordUtil {
    /**
     * 判断文字是否包含敏感字符
     *
     * @param txt
     * @param matchType
     * @return
     */
    public static boolean isContaintSensitiveWord(String txt, int matchType, Map sensitiveWordMap) {
        boolean flag = false;
        for (int i = 0; i < txt.length(); i++) {

            // 判断是否包含敏感字符
            int matchFlag = checkSensitiveWord(txt, i, matchType, sensitiveWordMap);

            // 大于0存在，返回true
            if (matchFlag > 0) {
                flag = true;
            }
        }
        return flag;
    }

    /**
     * 获取文字中的敏感词
     *
     * @param txt
     * @param matchType
     * @return
     */
    public static Set<String> getSensitiveWord(String txt, int matchType, Map sensitiveWordMap) {
        Set<String> sensitiveWordList = new HashSet<String>();

        for (int i = 0; i < txt.length(); i++) {

            // 判断是否包含敏感字符
            int length = checkSensitiveWord(txt, i, matchType, sensitiveWordMap);

            // 存在,加入list中
            if (length > 0) {
                sensitiveWordList.add(txt.substring(i, i + length));

                // 减1的原因，是因为for会自增
                i = i + length - 1;
            }
        }

        return sensitiveWordList;
    }

    /**
     * 替换敏感字字符
     *
     * @param txt
     * @param matchType 1-最短匹配，2-最长匹配
     * @param replaceChar
     * @return
     */
    public static String replaceSensitiveWord(String txt, int matchType, String replaceChar, Map sensitiveWordMap) {

        String resultTxt = txt;

        // 获取所有的敏感词
        Set<String> set = getSensitiveWord(txt, matchType, sensitiveWordMap);
        Iterator<String> iterator = set.iterator();
        String word = null;
        String replaceString = null;
        while (iterator.hasNext()) {
            word = iterator.next();
            replaceString = getReplaceChars(replaceChar, word.length());
            resultTxt = resultTxt.replaceAll(word, replaceString);
        }

        return resultTxt;
    }

    /**
     * 获取替换字符串
     *
     * @param replaceChar
     * @param length
     * @return
     */
    private static String getReplaceChars(String replaceChar, int length) {
        String resultReplace = replaceChar;
        for (int i = 1; i < length; i++) {
            resultReplace += replaceChar;
        }

        return resultReplace;
    }

    /**
     * 检查文字中是否包含敏感字符，检查规则如下：<br>
     * 如果存在，则返回敏感词字符的长度，不存在返回0
     *
     * @param txt
     * @param beginIndex
     * @param matchType
     * @return
     */
    public static int checkSensitiveWord(String txt, int beginIndex, int matchType, Map sensitiveWordMap) {

        // 敏感词结束标识位：用于敏感词只有1位的情况
        boolean flag = false;

        // 匹配标识数默认为0
        int matchFlag = 0;
        Map nowMap = sensitiveWordMap;
        for (int i = beginIndex; i < txt.length(); i++) {
            char word = txt.charAt(i);

            // 获取指定key
            nowMap = (Map) nowMap.get(word);

            // 存在，则判断是否为最后一个
            if (nowMap != null) {

                // 找到相应key，匹配标识+1
                matchFlag++;

                // 如果为最后一个匹配规则,结束循环，返回匹配标识数
                if ("1".equals(nowMap.get("isEnd"))) {

                    // 结束标志位为true
                    flag = true;

                    // 最小规则，直接返回,最大规则还需继续查找
                    if (1 == matchType) {
                        break;
                    }
                }
            }

            // 不存在，直接返回
            else {
                break;
            }
        }

        // 长度必须大于等于1，为词
        if (matchFlag < 2 || !flag) {
            matchFlag = 0;
        }
        return matchFlag;
    }

    public static Map addSensitiveWordToHashMap(Set<String> wordSet) {

        // 初始化敏感词容器，减少扩容操作
        Map wordMap = new HashMap(wordSet.size());

        for (String word : wordSet) {
            Map nowMap = wordMap;
            for (int i = 0; i < word.length(); i++) {

                // 转换成char型
                char keyChar = word.charAt(i);

                // 获取
                Object tempMap = nowMap.get(keyChar);

                // 如果存在该key，直接赋值
                if (tempMap != null) {
                    nowMap = (Map) tempMap;
                }

                // 不存在则，则构建一个map，同时将isEnd设置为0，因为他不是最后一个
                else {

                    // 设置标志位
                    Map<String, String> newMap = new HashMap<String, String>();
                    newMap.put("isEnd", "0");

                    // 添加到集合
                    nowMap.put(keyChar, newMap);
                    nowMap = newMap;
                }

                // 最后一个
                if (i == word.length() - 1) {
                    nowMap.put("isEnd", "1");
                }
            }
        }

        return wordMap;
    }

    public static Set<String> getSensitiveWord(){

        String str = ConfigValues.getSensitiveWord(ValueUtil.getInt(HSBCPSBizDataContext.getTenantId()));
        String[] word = str.split(",");
        Set<String> wordSet = new HashSet(Arrays.asList(word));
        return wordSet;
    }
}
